Waste Management Bulletin最新文献

{"title":"Water-Based and alternative extraction techniques for stilbenoids from grape cane: A comparative study","authors":"Wilfried Andlauer ,&nbsp;Roméo Zuchuat ,&nbsp;Ralf Schweiggert ,&nbsp;Paul Besrukow","doi":"10.1016/j.wmb.2025.100219","DOIUrl":"10.1016/j.wmb.2025.100219","url":null,"abstract":"<div><div>Grape cane is a viticultural byproduct rich in bioactive stilbenoids and other phenolic compounds. Valorization of grape cane relies on effective extraction methods, traditionally using ethanol. This study aimed to compare a series of extraction techniques, including an extraction based on various ethanol–water mixtures as well as water-based methods combined with ultrasound-assisted extraction and microwave-assisted extraction. In this study, water-based extraction led to stilbenoid extraction yields determined by HPLC-DAD analyses that were significantly lower, even when applying ultrasound (43 mg/kg grape cane), than those obtained with 80 % ethanol maceration (4373 mg/kg). Water-based extraction utilizing microwave heating at optimal conditions (100 °C, 20 <!--> <!-->min) allowed yields of about 555 mg/kg. The spectrophotometrically measured total phenolic content showed a similar trend, with the highest yield achieved at 100 °C for 20 min under microwave-assisted extraction (13 g GAE /kg), remaining notably lower compared to using 80 % ethanol (20 g GAE /kg). These findings highlight the potential of increased temperature water-based extraction methods but also underscore the need for further optimization. Future research should aim to refine these techniques and explore more advanced methods, such as subcritical or high-pressure water extraction, to enhance the valorization of grape cane and support its use in producing bioactive extracts.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"3 3","pages":"Article 100219"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144204196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recovery of high reactive alkaline-earth-oxide (CaO and MgO) from reverse osmosis reject desalination brine: Kinetics, equilibrium, cost-effectiveness and energy-consumption","authors":"Fatima Zahra Karmil ,&nbsp;Abderrahman Abbassi ,&nbsp;Omar Mounkachi ,&nbsp;Hanan El Alaoui-Belghiti ,&nbsp;Sara Mountadar ,&nbsp;Anouar Rich ,&nbsp;Mohammed Mountadar","doi":"10.1016/j.wmb.2025.100218","DOIUrl":"10.1016/j.wmb.2025.100218","url":null,"abstract":"<div><div>Reactive alkaline earth oxides (CaO and MgO) have recently received significant attention due to their low production costs, availability, and capacity for storing CO₂. This study examined the high content of bivalent ions (Ca²⁺ and Mg²⁺) in RO reject brine for producing reactive quicklime and magnesia via selective precipitation. Various precipitating agents were evaluated at various molar ratios to discuss the high purity and process efficiency. The oxalic acid dosage was evaluated at a molar ratio (C₂H₂O₄/Ca²⁺) of 2 which led to high recovery efficiency of calcium oxalate monohydrate (97.5 ± 0.5 %). The theoretical study using PhreeqCI3 via the Pitzer model was used to model the precipitation behavior at selected conditions. The alkaline caustic ash dosage was set at the molar ratio (NaOH/Mg²⁺) of 3, corresponding to the highest extent of precipitation of brucite (97 ± 0.5 %). Further, the calcination of the precipitated solids for 2 h at 900 °C and 500 °C produced the reactive quicklime and magnesia. The characterization of produced oxides at the optimized parameters was designated and discussed based on the composition, microstructure, and reactivity. The surface areas of the obtained oxides were 10.4 m²/g and 58.3 m²/g, respectively, according to the BET analysis. The energy consumption and production cost for generating high-purity oxides from desalination waste revealed that RO reject brine is an additional source for recovering alkaline earth oxides with high reactivities and allowed to minimize the environmental impacts resulting from desalination plants.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"3 3","pages":"Article 100218"},"PeriodicalIF":0.0,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved performance indicators and institutional setup for more viable compost production from municipal solid waste in Sri Lanka","authors":"A. Manipura ,&nbsp;P. Drechsel ,&nbsp;H.M.L.C. Jayawardhana ,&nbsp;R. Shanmugapriya ,&nbsp;N.R. Mannapperuma ,&nbsp;H.S.I. Jayatilleke","doi":"10.1016/j.wmb.2025.100217","DOIUrl":"10.1016/j.wmb.2025.100217","url":null,"abstract":"<div><div>Managing municipal solid waste (MSW) is challenging for most local authorities (LAs), especially in urban and <em>peri</em>-urban areas due to increasing waste quantities and decreasing options for safe disposal. Many LAs around the world prefer composting organic waste as a means of waste volume (and transport cost) reduction and cost recovery option within a circular economy framework. To optimize compost production with a focus on cost recovery, a systematic study was conducted at 22 composting stations located in Sri Lanka’s highly populated Western Province. The study examined process management from organic waste collection to product quality and cost recovery via compost sales. Collected organic waste conversion into compost was varied between 1 % and 15 % and time taken for completion of the process varied between 2.5 – 4.5 months. No standard operating procedure was observed though input organic matter was of similar nature. Excess leachate and odour production reported by 59 % of the surveyed stations. Complete analysis of compost quality was hardly reported by any LAs and no sales and marketing strategies were adopted to boost the cost recovery. Poor data management has hindered the identification of improvement opportunities and performance benchmarking of composting stations run by LAs. To address these significant performance variations observed among the stations, a monitoring and evaluation framework is proposed based on four composite key performance indicators (KPIs): General Facility Management Index (GFMI), Composting Process Management Index (CPMI), Compost Quality Index (CQI), and Cost Recovery Index (CRI). These KPIs serve to benchmark performance and identify incremental improvement opportunities at each station. However, to address institutional and human capacity challenges an institutional partnership model is also proposed, which could incentivize the implementation and achievements of the KPIs while reducing the pressure on LAs to reach the compost market.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"3 3","pages":"Article 100217"},"PeriodicalIF":0.0,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-driven strategies for household waste management through Policy, social Norms, and circular economy","authors":"Pamon Pumas ,&nbsp;Maliwan Puangmanee ,&nbsp;Pimpawat Teeratitayangkul ,&nbsp;Warangkana Sintuya ,&nbsp;Chayakorn Pumas","doi":"10.1016/j.wmb.2025.100216","DOIUrl":"10.1016/j.wmb.2025.100216","url":null,"abstract":"<div><div>This study examines the behavioral and social factors influencing household waste separation practices in Keelek Subdistrict Municipality, Chiang Mai Province, Thailand. Drawing on survey data and a mixed‐methods approach that integrates correlation analysis, principal component analysis, and a two‐stage machine‐learning pipeline—further validated by confirmatory structural equation modeling of Attitude → Intention → Behavior and mapped onto an established nudge taxonomy—the research identifies the most influential predictors of separation behavior. These include routine organic waste sorting, behavioral intention, emotional commitment, and the perceived influence of community members and local authorities. Among the tested models, Gradient Boosting Regression yielded the highest predictive accuracy (R² = 0.782; MAE = 0.331), underscoring its ability to capture complex non-linear behavioral patterns more effectively than traditional approaches. By uniting behavioral theory, community-derived insights, and predictive analytics, this work advances a novel, transferable framework for municipal planning. It offers practical, ESG/SDG–aligned strategies—such as habit-based, peer-supported nudges and AI-powered monitoring systems—that local governments can adopt to design evidence-based waste policies. Focusing on a semi-urban context often overlooked in the literature, this study fills a critical methodological gap and charts a replicable pathway for scaling behaviorally informed waste-management interventions.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"3 3","pages":"Article 100216"},"PeriodicalIF":0.0,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Alternative food networks in supply Chains: A Biblio-metric analysis using RStudio and VOSViewer (1989–2024)","authors":"Wang Xi ,&nbsp;Zailani Suhaiza","doi":"10.1016/j.wmb.2025.100215","DOIUrl":"10.1016/j.wmb.2025.100215","url":null,"abstract":"<div><div>Alternative Food Networks (AFNs) have gained growing attention for promoting sustainable food systems by addressing upstream food production, distribution, and waste reduction challenges. This study conducts a comprehensive bibliometric analysis of 830 peer-reviewed articles published between 1989 and 2024, retrieved from the Web of Science Core Collection. Utilizing VOSviewer and RStudio, the analysis maps the intellectual structure, thematic evolution, and global research dynamics of AFNs over the past three decades. The results reveal an average annual growth rate of 11.19%, with a sharp increase in publications after 2020, driven by heightened interest in resilient, local, and circular food systems. Co-word and cluster network analyses identify four major thematic domains: (1) local food and consumption patterns, (2) sustainability and environmental impacts, (3) governance, policy, and social justice, and (4) community participation and social innovation. Key theoretical frameworks underpinning the field include Actor-Network Theory, Convention Theory, and the Theory of Planned Behavior. This study distinguishes itself by framing AFNs as upstream system-level interventions with the potential to complement or substitute downstream technological approaches to waste management. It highlights AFNs’ unique contributions to reducing food loss and waste, strengthening local economies, and fostering inclusive development. The findings also reveal a research gap in the Global South, where AFNs could address food safety and local poverty. This review offers practical guidance for researchers and policymakers to advance AFNs’ research and design place-based, sustainable food governance strategies.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"3 3","pages":"Article 100215"},"PeriodicalIF":0.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthesis of activated carbon using pyrolytic degradation of multi plastic waste and its removal efficiency of dye","authors":"Sayan Mukherjee ,&nbsp;Shashank Pal ,&nbsp;Subhasis Ghosh ,&nbsp;Sandipan Bhattacharya ,&nbsp;Surajit Mondal ,&nbsp;Papita Das","doi":"10.1016/j.wmb.2025.100214","DOIUrl":"10.1016/j.wmb.2025.100214","url":null,"abstract":"<div><div>Malachite Green is a persistent pollutant, and it has been reported to cause many harmful health hazards for both humans and aquatic organisms. Growing use of plastic is posing a lot of problems and the most pertinent of which is perhaps the treatment of plastic waste. In the present work, plastic waste has been pyrolyzed, annealed and treated with sodium hydroxide to synthesize a char. Then this char has been used to remove the cationic dye Malachite Green from water and was observed highest removal of Malachite Green by the char was 99.3 %. From the thermodynamic study, it was observed that the value of Gibbs free energy was negative across all the temperature thereby denoting that the process was spontaneous. The process was optimized with an Artificial Neural Network system and from there it was observed that the Levenberg-Marquardt backpropagation model best optimized the experimental data. The char also exhibited high efficiency for the purpose of removing other cationic dyes and polyaromatic hydrocarbons, whereas showing a lower affinity for anionic dyes and pharmaceutical compounds.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"3 3","pages":"Article 100214"},"PeriodicalIF":0.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Banana waste valorisation and the development of biodegradable biofilms","authors":"Sony Kumari ,&nbsp;Rahel Debbarma ,&nbsp;Munquad Habibi ,&nbsp;Shakil Haque ,&nbsp;Penna Suprasana","doi":"10.1016/j.wmb.2025.100213","DOIUrl":"10.1016/j.wmb.2025.100213","url":null,"abstract":"<div><div>Bananas (<em>Musa paradisiaca</em>) are among the most important tropical and subtropical crops, playing a vital role in global nutrition, food security, and regional economies. However, their large-scale cultivation generates substantial biomass waste-including rhizomes, pseudostems, leaves, rachis, fruit-bunch-stems, and peels-which remains underutilized. This review addresses the growing research need to valorize banana agro-waste, particularly green bananas and peels, for the development of biodegradable biofilms as sustainable alternatives to plastic packaging. The novelty of this work lies in its focused examination of banana-derived biopolymers, such as starch and fibre, and their capacity to form eco-friendly, mechanically robust, and biodegradable films suitable for food preservation. In addition to packaging applications, the review explores the broader multifunctionality of banana plant components across textiles, medicine, and bio-based industries. By synthesizing current literature, this article presents a comprehensive overview of banana waste utilization for both economic and environmental sustainability. It also identifies existing research gaps and outlines future directions to optimize biofilm formulations and encourage holistic, waste-minimizing approaches in banana production. Ultimately, this review highlights the untapped potential of banana waste as a valuable resource for advancing circular bioeconomy and sustainable innovation.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"3 3","pages":"Article 100213"},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applications of machine learning algorithms on the compressive strength of laterite blocks made with metakaolin-based geopolymer and sugarcane molasses","authors":"David Sinkhonde ,&nbsp;Derrick Mirindi ,&nbsp;Ismael Dabakuyo ,&nbsp;Tajebe Bezabih ,&nbsp;Destine Mashava ,&nbsp;Frederic Mirindi","doi":"10.1016/j.wmb.2025.100212","DOIUrl":"10.1016/j.wmb.2025.100212","url":null,"abstract":"<div><div>To refine the process of anticipating the structural integrity of laterite block components, the use of machine learning (ML) algorithms is required. This study initiates an exploration into forecasting the compressive strength of laterite blocks infused with metakaolin-based geopolymer (MKG) and sugarcane molasses (SM), utilizing machine learning techniques such as artificial neural networks (ANN), random forests (RF), decision trees (DT), and support vector machines (SVM). The models were developed using four input values, including the MKG, SM, laterite soil, and water, with compressive strength as the output. Results show that for all the models, the majority of the data points lie within the error lines range of −20 % and +20 %. Using the Taylor diagram model, the results demonstrate that the SVM (train) model achieves the highest performance in predicting the compressive strength of laterite blocks, with a correlation coefficient of 0.99 and the lowest root mean square error (RMSE) of 0.139. The correlation coefficient values (R) for training and testing algorithm models ranged between 0.65 and 0.99, implying that all models fairly predict the compressive strength of laterite blocks containing MKG and SM. The RF model emerges as an important model for generalization across training and testing phases, with R values of 0.9828 and 0.789, respectively. SHapley Additive exPlanations (SHAP) analysis assesses the model’s explainability behavior. According to a SHAP-based feature importance study, age (85.33 %) and water content (17.87 %) are critical components that may improve compressive strength compared to MKG (8.60 %) and SM (6.74 %), respectively. This study not only assists in comprehending the essential parameters necessary for making well-informed decisions but also opens exciting possibilities for the application of ML in fostering sustainable construction practices.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"3 3","pages":"Article 100212"},"PeriodicalIF":0.0,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Medical waste management in the State of Qatar challenges and opportunities: A review","authors":"Mohammad Albeldawi ,&nbsp;Abdulla S. Al-Mohannadi ,&nbsp;Kennedy Sigodo","doi":"10.1016/j.wmb.2025.100209","DOIUrl":"10.1016/j.wmb.2025.100209","url":null,"abstract":"<div><div>Medical waste generation creates a major concern to health authorities. The State of Qatar represented by Hamad Medical Corporation (HMC) previously used autoclave and open burning as primary medical waste treatment options. However, changes in medical waste management have increased the focus on minimizing the pollution and health impacts of relevant regulations and practices. In particular, issues related to safety, health and the environment are now receiving increased scrutiny. The rapid urban and infrastructure development, the lack of human resource experienced in medical waste advanced technologies and lack of understanding of benefits of integrated medical waste management system lead to a cumulative impact that hampers the development of integrated medical waste management system in Qatar. Hence, this review collates information from multiple sources to provide critical information on integrated medical waste management system in Qatar. The review presents the current practices, challenges, and opportunities for using both technical and nontechnical approaches in managing hazardous medical wastes in Qatar.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"3 3","pages":"Article 100209"},"PeriodicalIF":0.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental impact of PFAS incineration","authors":"Jason Kovacs ,&nbsp;Richard Higgins ,&nbsp;Nathalie Ionesco ,&nbsp;Young Cho","doi":"10.1016/j.wmb.2025.100202","DOIUrl":"10.1016/j.wmb.2025.100202","url":null,"abstract":"<div><div>A first-order thermodynamic model for the incineration of poly- and per-fluorinated alkyl substances (PFAS) in aqueous film-forming foam (AFFF) in a rotary kiln incinerator (i.e., a typical hazardous waste disposal) as well as decomposition at lower temperatures used in waste-to-energy incineration processes is used to discuss the global warming potential (GWP) impact of such incineration. Approximate orders of magnitude of tons of CO₂ per ton of AFFF combusted are determined based on AFFF disposal data from a survey on the incineration of the US military’s AFFF supplies for complete and incomplete combustion of the AFFF wastewater. The model suggests that incomplete combustion of fluorosurfactants at low temperature will result in the release of high GWP waste products such as CF-alkanes. The risk of incomplete PFAS combustion may be amplified with diluted AFFF streams as the net reaction will be endothermic, potentially depressing the reactor temperature and promoting the formation of high-GWP byproducts. For more complete combustion cases evaluated, the estimated emission is on the order of 2 metric tons of CO₂ per ton of AFFF combusted. In the worst-case scenario with CF-alkane release, the expected emission is between 439 and 537 metric tons of CO₂ per ton of AFFF combusted. In this scenario, the incineration impact of 10,007 metric tons of AFFF combusted is equivalent to the emissions resulting from firing an average coal-fired power plant for approximately 3.6 years or the annual emissions of approximately 1 million automobiles.</div></div>","PeriodicalId":101276,"journal":{"name":"Waste Management Bulletin","volume":"3 3","pages":"Article 100202"},"PeriodicalIF":0.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}